Abstract This study aims to develop a multi-label classification model based on pelvic X-rays for the diagnosis and assessment of Ankylosing Spondylitis (AS), addressing the challenges of limited expert resources in underdeveloped regions. We propose a deep learning-based multi-l…
Background Thrombospondin 2 (THBS2) is overexpressed in various solid tumors and is a prognostic gene of Burkitt lymphoma (BL), but its role and molecular mechanism in BL still need to be explored. Methods Western blot (WB) detected the protein expression of THBS2 in BL cells. si…
Background: Hypertension is a major modifiable risk factor for cardiovascular disease (CVD), and angiotensin-converting enzyme (ACE) remains a principal target within the renin-angiotensin-aldosterone system (RAAS). Food-derived ACE inhibitory peptides (ACEiPs) are attractive bec…
Stimuli-responsive shape-changing hydrogels are the most competitive candidates for artificial muscles, electronic skins, and soft robotics. However, existing actuating hydrogels often suffer a trade-off between actuation performance and mechanical strength, which greatly limits…
Artificial intelligence (AI) has become a central source of technological competition and industrial upgrading, yet it remains unclear whether AI innovation improves firms' financial resilience. This study argues that the financial value of AI innovation depends less on the volum…
This paper proposes an XGBoost model based on TPE hyperparameter optimization for constructing a system effectiveness prediction framework, focusing on integrating precise prediction with interpretable analysis. First, TPE algorithm-based hyperparameter optimization enhances the…
Rotating machinery plays a critical role in transmission systems, while the scarcity of fault samples and labeled data limits the performance of existing diagnostic methods under few-shot conditions. This paper proposes a few-shot fault diagnosis method for rotating machinery bas…